member profile image

Mgr. Róbert Kanász

robert.kanasz@student.tuke.sk

Mgr. Róbert Kanász

robert.kanasz@student.tuke.sk
member profile image

Róber Kanasz is a PhD student at the Department of Computers and Informatics, Technical University of Kosice. His research focuses on machine learning, business data analytics and neural networks.

Research interests:
  • Bankruptcy prediction, decision support for digital business
Publications:

2025

P. Gnip, P. Drotár, R. Kanász, M. Zoričák

A Deep Ensemble Learning Approach for Imbalanced Data in Bankruptcy Prediction

Journal: 2025 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics Cifer 2025.

P. Gnip, R. Kanász, M. Zoričák, P. Drotár

An experimental survey of imbalanced learning algorithms for bankruptcy prediction

Journal: Artificial Intelligence Review

M. Gazda, J. Gazda, S. Kadoury, R. Kanász, P. Drotár

Echogan: extending the field of view in transthoracic echocardiography through conditional gan-based outpainting

Journal: Computer methods and programs in biomedicine.

2024

R. Kanász, P. Drotár, P. Gnip, M. Zoričák

Clash of titans on imbalanced data: TabNet vs XGBoost

Journal: 2024 IEEE Conference on Artificial Intelligence.

2023

R. Kanász, P. Gnip, M. Zoričák, P. Drotár

Bankruptcy prediction using ensemble of autoencoders optimized by genetic algorithm

Journal: PeerJ. Computer science.

2020

P. Malega, V. Rudy, R. Kanász, V. Gazda

Decentralized optimization of the flexible production lines

Journal: Advances in Production Engineering & Management. Roč. 15, č. 3 (2020), s. 267-276 [print].

2007

R. Kanász, J. Bednarčík, K. Saksl, R. Nicula, M. Stir, C. Lathe

In situ energy dispersive x-ray diffraction analysis of the temperature-pressure stability of Co-Fe-(Ta, W)-B alloys

Journal: Acta Physica Polonica A.